Knowledge Domain
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Companies are investing heavily in AI solutions and technology that leverage Large Language Models (LLMs). Success of these initiatives requires accuracy, relevance and reliability of information output — something that's generally elusive to LLM-based solutions. This White Paper covers how focusing on curating, structuring and deploying institutional knowledge in the form of a Knowledge Domain delivers the accuracy, relevance and reliability needed for a successful AI/LLM solution implementation — ensuring  optimal value and minimal risk.